30 lines
1 KiB
R
30 lines
1 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/regressionComponents.R
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\name{MeanResponseCombiner}
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\alias{MeanResponseCombiner}
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\title{MeanResponseCombiner}
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\usage{
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MeanResponseCombiner()
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}
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\description{
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This response combiner is used in regression random forests, where the
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response in the data is a single number that needs to be averaged in each
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terminal node, and then averaged across trees. This response combiner is
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appropriate as an argument for both the \code{nodeResponseCombiner} and
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\code{forestResponseCombiner} parameters in \code{\link{train}} when doing
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regression.
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}
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\examples{
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responseCombiner <- MeanResponseCombiner()
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# You would then use it in train()
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# However; I'll show an internal Java method to make it clear what it does
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# Note that you should never have to do the following
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x <- 1:3
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x <- largeRCRF:::convertRListToJava(Numeric(x))
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# will output a Java object containing 2
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output <- rJava::.jcall(responseCombiner$javaObject, "Ljava/lang/Double;", "combine", x)
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responseCombiner$convertToRFunction(output)
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}
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